Mareike Przysucha

According to our database, Mareike Przysucha authored at least 16 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Automatic Classification of Wound Images Showing Healing Complications: Towards an Optimised Approach for Detecting Maceration.

Leila Malihi, Cornelia Erfurt-Berge, Gunther Heidemann, Mareike Przysucha, Dorothee Busch, Ursula Hübner

Proceedings of the German Medical Data Sciences 2024 - Health, 2024

Automation Bias in AI-Decision Support: Results from an Empirical Study.

Ursula Hübner, Mareike Przysucha, Niels Hannemann, Jan-Oliver Kutza, Maurice Moelleken, Cornelia Erfurt-Berge, Joachim Dissemond, Birgit Babitsch, Dorothee Busch

Proceedings of the German Medical Data Sciences 2024 - Health, 2024

2023

Can Synthetic Images Improve CNN Performance in Wound Image Classification?

Leila Malihi, Ursula Hübner, Mats L. Richter, Maurice Moelleken, Mareike Przysucha, Dorothee Busch, Jan Heggemann, Guido Hafer, Stefan Wiemeyer, Gunther Heidemann, Joachim Dissemond, Cornelia Erfurt-Berge, Carlotta B. C. Barkhau, Achim Hendriks, Jens Hüsers

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Design and Implementation of an ETL-Process to Transfer Wound-Related Data into a Standardized Common Data Model.

Mareike Przysucha, Jens Hüsers, Daniil Liberman, Oliver Kersten, Aphrodite Schlüter, Sebastian Fraas, Dorothee Busch, Maurice Moelleken, Cornelia Erfurt-Berge, Joachim Dissemond, Ursula Hübner

Proceedings of the German Medical Data Sciences 2023 - Science. Close to People., 2023

Adoption and Determinants of Assistive Technologies in the Real World: Results from the VdK Study.

Ursula Hübner, Ivanna Yalymova, Mareike Przysucha, Andreas Büscher

Proceedings of the German Medical Data Sciences 2023 - Science. Close to People., 2023

2022

An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers.

Jens Hüsers, Maurice Moelleken, Mats L. Richter, Mareike Przysucha, Leila Malihi, Dorothee Busch, Nina-Alexandra Götz, Jan Heggemann, Guido Hafer, Stefan Wiemeyer, Birgit Babitsch, Gunther Heidemann, Joachim Dissemond, Cornelia Erfurt-Berge, Ursula Hübner

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Automatic Wound Type Classification with Convolutional Neural Networks.

Leila Malihi, Jens Hüsers, Mats L. Richter, Maurice Moelleken, Mareike Przysucha, Dorothee Busch, Jan Heggemann, Guido Hafer, Stefan Wiemeyer, Gunther Heidemann, Joachim Dissemond, Cornelia Erfurt-Berge, Ursula Hübner

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

What Went Wrong in eMedCare? Formative Evaluation of an IT Project in Primary Care in Two Rural Districts.

Mareike Przysucha, Lara Peters, Andreas Büscher, Martin Schnellhammer, Ursula Hübner

Proceedings of the German Medical Data Sciences 2022 - Future Medicine: More Precise, More Integrative, More Sustainable! - Proceedings of the Joint Conference of the 67th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 14th Annual Meeting of the TMF, 2022

2021

Evaluation of a Clinical Decision Support System in the Domain of Chronic Wound Management.

Stefan Vogel, Jendrik Richter, Stefanie Wache, Kerstin Pischek-Koch, Simone Auchter, Sebastian Zebbities, Karen Güttler, Ursula Hübner, Mareike Przysucha, Jens Hüsers, Björn Sellemann

Proceedings of the Public Health and Informatics, 2021

Automatic Classification of Diabetic Foot Ulcer Images - A Transfer-Learning Approach to Detect Wound Maceration.

Jens Hüsers, Guido Hafer, Jan Heggemann, Stefan Wiemeyer, Mareike Przysucha, Joachim Dissemond, Maurice Moelleken, Cornelia Erfurt-Berge, Ursula Hübner

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

2020

Implementation and Analysis of Two Knowledge Base Approaches for the Treatment of Chronic Wounds.

Stefan Vogel, Jendrik Richter, Stefanie Wache, Kerstin Pischek-Koch, Simon Auchter, Sebastian Zebbities, Karen Güttler, Ursula Hübner, Mareike Przysucha, Jens Hüsers, Björn Sellemann

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

2018

Requirements for Collaborative Decision Support Systems in Wound Care: No Information Continuity Without Management Continuity.

Mareike Przysucha, Stefan Vogel, Jens Hüsers, Stefanie Wache, Björn Sellemann, Ursula Hübner

Proceedings of the German Medical Data Sciences: A Learning Healthcare System, 2018

2017

Patient Handovers - Cognitively Demanding: Does the Handover EHR Meet This Challenge?

Ursula Hübner, Mareike Przysucha

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Cognitive Performance of Users Is Affected by Electronic Handovers Depending on Role, Task and Human Factors.

Mareike Przysucha, Daniel Flemming, Georg Schulte, Ursula Hübner

Proceedings of the German Medical Data Sciences: Visions and Bridges, 2017

2016

The Benefits of a Formative Evaluation for Developing a Highly Innovative Software: The Case of the handoverEHR.

Mareike Przysucha, Daniel Flemming, Ursula Hübner

Proceedings of the Exploring Complexity in Health: An Interdisciplinary Systems Approach - Proceedings of MIE2016 at HEC2016, Munich, Germany, 28 August, 2016

2015

Restricted Versus Unrestricted Search Space: Experience from Mining a Large Japanese Database.

Hendrik Nienhoff, Ursula Hübner, Andreas Frey, Mareike Przysucha, Michio Kimura

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015